菜单
Guides Gantry memory architecture work around session digest, continuity, compaction, dreaming, retrieval, source-first ingestion, and cleanup. Use when planning or changing memory services, generated memories, memory APIs, MCP tools, settings, or retrieval behavior.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Orchestrate a Gantry plan to a finished PR — Claude writes a goal-prompt doc, delegates implementation stages to the Codex plugin (xhigh + ponytail), verifies and commits between stages, and closes with the autoreview loop. Use when the user asks to implement a plan/goal prompt, "run the goal pipeline", "same as the goal", or hands over a docs/architecture/*-goal-prompt.md to execute.
End-to-end Gantry plan implementation pipeline. Use when the user asks to implement or pursue a plan, goal prompt, feature, fix, refactor, PR update, or "same as the goal" workflow with subagent implementation, ponytail simplicity, no-commentary implementation, autoreview, build, launchctl restart, Knacklabs lead gen smoke, and PR/pipeline closeout.
Gantry self-administration reference for current host runtime operations: CLI commands, settings.yaml runtime settings, .env credential keys, agent management, scheduler tools, memory tools, browser tools, diagnostics, and service control. Use when asked to manage Gantry itself.
Guides Gantry tool, skill, MCP server, browser, local CLI, semantic capability, inventory, and permission lifecycle work. Use when changing durable capability selection, visible attached sources, transient request_permission flows, or agent access review paths.
Drives Gantry agent-chat tests through the local Control API session path and captures assistant responses. Use when testing an agent response, permission prompt, skill behavior, or runtime chat flow without needing Telegram UI rendering.
Use when creating or revising a Gantry product, UX, permission, job, ingress, provider, settings, or agent-flow plan that must be decision-complete with no room for assumptions. Triggers for PM plan, product manager plan, no assumptions, UX flow, user flow, agent flow, acceptance criteria, validation plan, provider-neutral plan, or Surface Impact Matrix.
| name | memory-architecture-contract |
| description | Guides Gantry memory architecture work around session digest, continuity, compaction, dreaming, retrieval, source-first ingestion, and cleanup. Use when planning or changing memory services, generated memories, memory APIs, MCP tools, settings, or retrieval behavior. |
Use this skill for memory planning, memory service fixes, generated memories, retrieval claims, compaction handling, and source-first knowledge management.
docs/architecture/, docs/decisions/, and current memory service code before choosing a design.memory_save writes.settings.yaml, control API, MCP tools, parser/renderer, docs, and tests when replacing memory behavior.